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Instructor & TAs

  • Professor:Jonathan Taylor
    • Office: Sequoia Hall #137
    • Phone: 723-9230,
    • Email
    • Office hours: Tuesday 1:30-3:30.
  • TA: Bhaswar Bhattacharya
    • Office: Sequoia Hall #208
    • Email
    • Office hours: Thursday 4:00-6:00
  • TA: Yi Liu
    • Office: Sequoia Hall #235
    • Email
    • Office hours: Wednesday 10:00-12:00
  • Final exam: Following the Stanford calendar: Friday, December 14 @ 12:15PM

Schedule & Location

MW 3:15-4:30, Econ 140


Computing environment

We will use R, which you can read about here.


An introductory statistics course, such as STATS 60.

Course description

By the end of the course, students should be able to:

  • Enter tabular data using R.
  • Plot data using R, to help in exploratory data analysis.
  • Formulate regression models for the data, while understanding some of the limitations and assumptions implicit in using these models.
  • Fit models using R and interpret the output.
  • Test for associations in a given model.
  • Use diagnostic plots and tests to assess the adequacy of a particular model.
  • Find confidence intervals for the effects of different explanatory variables in the model.
  • Use some basic model selection procedures, as found in R, to find a best model in a class of models.
  • Fit simple ANOVA models in R, treating them as special cases of multiple regression models.
  • Fit simple logistic and Poisson regression models.


For those taking 4 units:

  • 5 assignments (50%)
  • data analysis project (20%)
  • final exam (30%) (according to Stanford calendar: F 12/14 @ 12:15PM)

For those taking 3 units:

  • 5 assignments (70%)
  • final exam (30%) (according to Stanford calendar: F 12/14 @ 12:15PM)


The data analysis project description describes what is needed for your project. It is due December 7, 2012.

Practice exam

You can find a practice exam here.


A complete version of the slides are available, as well as a smaller version.


Here are some review slides for the final.